- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04608890
Eye-tracking-based Artificial Intelligence Detects Abnormalities of the Oculomotor System in Type 1 Diabetes (EyekonT1D)
Abnormalities of the oculomotor system may represent an early sign of diabetic neuropathy and are currently poorly studied. The investigators designed an eye-tracking-based test to evaluate the oculomotor function in patients with type 1 diabetes.
The investigators used the SRLab -Tobii TX300 Eye tracker®, an eye-tracking device, coupled with a software that we developed to test abnormalities of the oculomotor system. The software consists in a series of screens divided in 5 classes of parameters (Resistance, Wideness, Pursuit, Velocity and Optokinetic Nystagmus [OKN]) to evaluate both smooth and saccadic movement in different directions. 40 healthy volunteers and 40 patients with long-standing type 1 diabetes will be enrolled to analyze the alterations in the oculomotor system and function.
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
Study Type
Enrollment (Actual)
Contacts and Locations
Study Locations
-
-
MI
-
Milan, MI, Italy, 20157
- Sacco University Hospital
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Patients:
Inclusion Criteria:
- Type 1 diabetes
- willing to give consent
Exclusion Criteria:
- Diabetic retinopathy and other ocular diseases
- other endocrine disease
- malignancy
Healthy volunteers:
Inclusion Criteria:
- willing to give consent
Exclusion Criteria:
- Other ocular diseases
- Any endocrine disease
- Malignancy
Study Plan
How is the study designed?
Design Details
- Observational Models: Case-Only
- Time Perspectives: Cross-Sectional
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
---|---|
Healthy volunteers
|
An eye-tracking-based test will be administered to patients.
It lasts 10 minutes.
It consists in several screens passing by to identify objects at a certain time by a mouse clic or touchpad.
|
Long-standing T1D patients
Patients with long-standing type 1 diabetes
|
An eye-tracking-based test will be administered to patients.
It lasts 10 minutes.
It consists in several screens passing by to identify objects at a certain time by a mouse clic or touchpad.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Percentage of patients with a change in eye movement test in each class Resistance, Velocity, Pursuit, Wideness and OKN measured by the eye-tracking based test
Time Frame: End of the study (when all patients have completed all sessions of the test), an average of 6 months
|
Percentage of all parameters tested in each class changed in patients with type 1 diabetes as compared to healthy subjects.
Parameters evaluated include number of visualization required to recognize a target and time (seconds), to recognize a target moving on the screen in different directions.
|
End of the study (when all patients have completed all sessions of the test), an average of 6 months
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Percentage of patients with a change in eye movement test in the Resistance class
Time Frame: End of the study (when all patients have completed all sessions of the test), an average of 6 months
|
Percentage of parameters tested in the Resistance class changed in patients with type 1 diabetes as compared to healthy subjects.
Resistance will be measured by using number of visualization required to recognize a target and time (seconds) required to recognize a target moving on the screen in different directions.
An algorithm will attribute those measurements to the specific class of Resistance.
|
End of the study (when all patients have completed all sessions of the test), an average of 6 months
|
Percentage of patients with a change in eye movement test in the Wideness class
Time Frame: End of the study (when all patients have completed all sessions of the test), an average of 6 months
|
Percentage of parameters tested in the Wideness class changed in patients with type 1 diabetes as compared to healthy subjects.
Wideness will be measured by using number of visualization required to recognize a target and time (seconds) required to recognize a target moving on the screen in different directions.
An algorithm will attribute those measurements to the specific class of Wideness.
|
End of the study (when all patients have completed all sessions of the test), an average of 6 months
|
Percentage of patients with a change in eye movement test in the Velocity class
Time Frame: End of the study (when all patients have completed all sessions of the test), an average of 6 months
|
Percentage of parameters tested in the Velocity class changed in patients with type 1 diabetes as compared to healthy subjects.
Velocity will be measured by using number of visualization required to recognize a target and time (seconds) required to recognize a target moving on the screen in different directions.
An algorithm will attribute those measurements to the specific class of Velocity.
|
End of the study (when all patients have completed all sessions of the test), an average of 6 months
|
Collaborators and Investigators
Sponsor
Collaborators
Publications and helpful links
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- EyekonT1D
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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